Headquartered in New York, with offices across North America, Europe, and Asia-Pacific, and a workforce that is now mostly remote, we are close to where you do business. MongoDB has more than 30,000 customers in more than 100 countries. The MongoDB database platform has been downloaded over 175 million times and there have been more than 1.5 million MongoDB University registrations.

Document-based Database

Data in MongoDB is stored in BSON documents – JSON-style data structures. Documents contain one or more fields, and each field contains a value of a specific data type, including arrays, binary data and sub-documents. Documents that tend to share a similar structure are organized as collections.

It may be helpful to think of documents as analogous to rows in a relational database, fields as similar to columns, and collections as similar to tables.

Document databases have many strengths

The document model is ubiquitous, intuitive, and enables rapid software development.
The flexible schema allows for the data model to change as an application's requirements change.
Document databases have rich APIs and query languages that allow developers to easily interact with their data.
Document databases are distributed (allowing for horizontal scaling as well as global data distribution) and resilient

MongoDB Atlas

MongoDB is the most advanced cloud database service on the market, with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.

Run anywhere in the world with Atlas. Deploy your data in over 80 regions on AWS, Azure, and Google Cloud – including simultaneously with multi-cloud clusters. Pin data to regions for strict compliance and ultra-low latency.
Secure and trusted foundation
Intelligent performance optimization
Access and query your data for any use case from a unified query API. Data stored in Atlas is instantly available to use with the rest of our platform, from full-text search to analytics to visualizations.

Build full-text search at scale.

With Atlas Search, you can create a search index on your data in a few clicks or single API call. Test queries and preview results to fine-tune relevance before deploying them in application code.

Application search simplified
With Atlas Search, you can create a search index on your data in a few clicks or single API call. Test queries and preview results to fine-tune relevance before deploying them in application code.
Define what’s relevant to you
Refine your search logic. Atlas Search queries are expressed through the MongoDB Query API and backed by the leading search engine library, Apache Lucene, so you can deliver fast, relevant results every time.
Made for MongoDB Atlas
Work faster and smarter. Because you can build search directly in Atlas, there’s no need to replicate your data anywhere else – and you don’t need to set up, maintain, or scale a separate search platform.